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A Hardware-Accelerated ECDLP with High-Performance Modular Multiplication
Author(s) -
Lyndon Judge,
Suvarna Mane,
Patrick Schaumont
Publication year - 2012
Publication title -
international journal of reconfigurable computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.236
H-Index - 16
eISSN - 1687-7209
pISSN - 1687-7195
DOI - 10.1155/2012/439021
Subject(s) - computer science , elliptic curve cryptography , modular arithmetic , elliptic curve , field programmable gate array , multiplier (economics) , public key cryptography , polynomial basis , scalar multiplication , parallel computing , arithmetic , cryptography , mathematics , algorithm , encryption , computer hardware , pure mathematics , operating system , mathematical analysis , economics , macroeconomics
Elliptic curve cryptography (ECC) has become a popular public key cryptography standard. The security of ECC is due to the difficulty of solving the elliptic curve discrete logarithm problem (ECDLP). In this paper, we demonstrate a successful attack on ECC over prime field using the Pollard rho algorithm implemented on a hardware-software cointegrated platform. We propose a high-performance architecture for multiplication over prime field using specialized DSP blocks in the FPGA. We characterize this architecture by exploring the design space to determine the optimal integer basis for polynomial representation and we demonstrate an efficient mapping of this design to multiple standard prime field elliptic curves. We use the resulting modular multiplier to demonstrate low-latency multiplications for curves secp112r1 and P-192. We apply our modular multiplier to implement a complete attack on secp112r1 using a Nallatech FSB-Compute platform with Virtex-5 FPGA. The measured performance of the resulting design is 114 cycles per Pollard rho step at 100 MHz, which gives 878 K iterations per second per ECC core. We extend this design to a multicore ECDLP implementation that achieves 14.05 M iterations per second with 16 parallel point addition cores

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